Mohammad Ali Nematbakhsh

Professor

Bio

Professor Nematbakhsh leads the Big Data Research Group at the University of Isfahan. he received his B.Sc. in Electrical Engineering from Louisiana Tech University in 1981, and his M.Sc. and PhD. from the University of Arizona, in 1983 and 1987 respectively, in Electrical and Computer Engineering. He worked for Toshiba America Medical Systems Research in USA and Japan for 5 years before joining the University of Isfahan. He is currently a full professor at the Computer Engineering Department and director of the Big Data Research Group.

Publication

His publications include numerous international journal papers and four patents registered in the USA and two database books that are widely used in universities. His main research interest is Big Data, Intelligent web, and NLP.

Teaching

Since 1992, Prof. Nematbakhsh taught computer engineering courses at Bachelor’s, Master’s, and Doctoral levels in Iran. his latest courses are Data Base, Data Base II, Big Data Analytics, and Advanced Topics in Data Base.

Students:

Ph.D	M.Sc.	Advising
Abbas Shahini	Kasra Rashidi	Negin Abadani
Simin Ghasemi	Pooria Asgarian
Mehdi Rezapour	Parisa Latifi
Mitra Isaee	Reyhane Fatahi
Arezo Saaedi	Alireza Akhavan
Fariba Khazaei	Forough Pooladi
Maryam Jameshorani	Jamshid Mozafari
Sajad Manteghi	Fatemeh Ebrahimi
Zahra Aghaei	Mohammad Reza Tavakolian
Voryaa Veisi	Farzaneh Taheri
Mahdi Kiani	Marzieh Naghdi
Ali Aji	Mojhdeh Jalali
Mehdi Jabalameli	Pegah Saboori

Recent Papers

TITLE	YEAR
Direct Relation Detection for Knowledge-based Question Answering	2022
PerAnSel: A Novel Deep Neural Network-Based System for Persian Question Answering	2022
PersianQuAD: The Native Question Answering Dataset for the Persian Language	2022
SParseQA: Sequential word reordering and parsing for answering complex natural language questions over knowledge graphs	2022
Sign prediction in sparse social networks using clustering and collaborative filtering	2022
Denoising distant supervision for ontology lexicalization using semantic similarity measures	2021
Identification of Implicit Features using Persian Language Rules and Sentiments Clustering	2020
Designing an Electronic Marketing Model for Medical Tourism of the Islamic Republic of Iran with the Proposal‎ Systems Approach	2020
Data-driven construction of SPARQL queries by approximate question graph alignment in question answering over knowledge graphs	2020
Ontology‐lexicon–based question answering over linked data	2020
An investigation of big graph partitioning methods for distribution of graphs in vertex-centric systems	2020
Mining Association Rules from Semantic Web Data without User Intervention	2020
Implicit relation-based question answering to answer simple questions overDBpedia	2020
BAS: an answer selection method using BERT language model	2019
PPR-partitioning: a distributed graph partitioning algorithm based on the personalized PageRank vectors in vertex-centric systems	2019
Improved Answer Selection For Factoid Questions	2019
Attention-based pairwise multi-perspective convolutional neural network for answer selection in question answering	2019
Identifying explicit features of Persian comments	2019
Detecting hidden errors in an ontology using contextual knowledge	2018
Identification of influential users by neighbors in online social networks	2017
Syntax-and semantic-based reordering in hierarchical phrase-based statistical machine translation	2017